Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space-Reference-Cited by-同舟云学术

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Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Published:2010-05-01 Issue:2 Volume:4 Page:201
ISSN:1970-7096
Container-title:Geospatial health
language:
Short-container-title:Geospat Health

Author:

Jacob Benjamin G.,Krapp Fiorella,Ponce Mario,Gotuzzo Eduardo,Griffith Daniel A.,Novak Robert J.

Publisher

PAGEPress Publications

Subject

Health Policy,Geography, Planning and Development,Health(social science),Medicine (miscellaneous)

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial autocorrelation mixtures in geospatial disease data: An important global epidemiologic/public health assessment ingredient?;Transactions in GIS;2023-03-31

2. Predicting transmission of pulmonary tuberculosis in Daerah Istimewa Yogyakarta Province, Indonesia;Geospatial Health;2019-05-14

3. Population-level mathematical modeling of antimicrobial resistance: a systematic review;BMC Medicine;2019-04-24

4. Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review;BMC Medicine;2018-10-18

5. Trends in obesity at the national and local level among South Korean adolescents;Geospatial Health;2016-05-31

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